Wong's research interest is in cognitive engineering and the representation design of user interfaces that enhance information uptake, sense making, situation awareness, sense making, reasoning, and decision making in complex dynamic environments. His research has included studies in air traffic control, hydro-electricity dispatch, emergency ambulance control, and intelligence analysis. He has received over US$25.3 million in grants, and has published over 100 scientific peer reviewed articles with his students and colleagues.
Simon’s research focusses on studies of users to inform theory and design relating to sensemaking. He has a particular interest in sensemaking understood as a form of Distributed Cognition and also the design of visualisation to support sensemaking. He is also interested in Interaction Design methods and in particular approaches to user modelling. He has conducted in vivo user studies in numerous domains i ncluding journalism, law, intelligence analysts and crime analysts. Simon’s research focusses on studies of users to inform theory and design relating to sensemaking. He has a particular interest in sensemaking understood as a form of Distributed Cognition and also the design of visualisation to support sensemaking.
Bob Fields researches Human Computer Interaction and Computer Supported Cooperative Work. His work explores people’s interactions with information and technology in complex domains as diverse as aviation, command and control, design education, and mental health.Bob's work has involved empirical study of complex work environments, the design of novel interactive technologies and visualisations, and the development of methods and tools to support analyses of usability, collaboration, human error and safety.
Main focus of his research work is to design and develop UI for reconstructing a criminal situation, formulate plausible explanations by combining geospatial-temporal visualization techniques, network visualization tools etc. His current research work includes finding out techniques to externalize analyst’s thinking processes by using analytic provenance data and inferring sensemaking tasks by using machine learning techniques.
Eva is currently doing a Masters by Research and works as a Graduate Academic Assistant at Middlesex University [more] data physicalisations, data exploration
Dr Passmore has a background in vision research, image processing, AI, and virtual reality, and in recent years has focussed on visual analytics and user experience of virtual reality, augmented reality and 360 video.
Pragya's research focuses on bridging the gap between computational complexity and HCI to make ethical decison in analysis process.
I am Professor of GeoBusiness at Middlesex University Business School, where I research and teach personal branding, electronic marketing and geodemographics. I am Director of the Business School's professional practice programmes (including the DBA, DProf, DProf by Public Works, and MProf), and I am heavily involved in a major FP7 R&D project (CRISIS), involving 11 European partners, which is developing interactive training simulations for emergency managers based on 3D videogame technology.
Springett’s background is in theoretical and practical aspects of HCI design, particularly design for inclusion. He has a specialist interest in the evaluation and modelling of factors affecting technology adoption, including rational and affective aspects of trust. He is leader of the EU Erasmus+ funded project 'Gameplay for Inspiring Digital Adoption’ investigating the potential of games to encourage digital engagement in older citizens.He was previously vice-chair of EU COST Action IC0904 ‘Towards the Integration of Transectorial IT Design and Evaluation’.
I am a research student belongs to the school of Science and Technology. Education is being transformed as a result of pedagogical advances made workable by e-learning. My main purpose is to focus on the significant part of AI to improve the students’ motivation on E-learning systems and to find out an interactive visualization tool to measure the student performance. To reduce the need of instructors, I am introducing an AI-based problem-solving GUI with the facilities of performance monitor, suggestions provider that tells which area that student expertise and clumsiness.
Dr. David Windridge is Associate Professor in Computer Science at Middlesex and heads the University's Data Science activities. His research interests centre on the related fields of machine-learning (A.I.), cognitive systems and computer vision (he also has a former research interest in astrophysics having obtained his Ph.D. in Cosmology at the University of Bristol). He has authored and played a leading role on a number of large-scale machine-learning projects in academic and industrial research settings (including the EU DREAMS4CARS, EPSRC ACASVA and EU DIPLECS projects). He is also interested in cross-over areas of data science and has won a number of interdisciplinary research grants in areas as diverse as psychological modelling and proteomic classification.
I am interested in the political aspects of HCI and how HCI practice and regulation can be used to ensure accessibility and usability for all. I am an invited member of OFCOM’s Consumer Forum for Communications and ANEC’s IT and Design for All Working Group (ANEC is the European consumer voice in standardization).
Dr Kai Xu is an Associate Professor in Data Analytics at the Middlesex University in London, UK. He has over 15 year experience in data visualisation and analytics research in both the academic and industry context. Recently he has been working with the UK government departments and leading defence companies on using Visual Analytics, Data Science, and Machine Learning to address the sense-making challenges they face in (big)data analysis. His work has won a few international data visualisation awards.
Dr Leishi Zhang is Senior Lecturer of Data Intensive Systems at Middlesex University, London. Before joining Middlesex, she was a post-doctoral research scientist at Chair of Data Analysis and Visualization , University of Konstanz, Germany (2010-2013), working with Professor Daniel Keim and his group on a number of visual analytics projects . She was also a post-doc at the Computing Laboratory, University of Kent, UK (2007-2010) working with Dr. Peter Rodgers on the EPSRC funded project Visualization with Euler Diagrams. Dr Zhang received her Ph.D. from Brunel University, UK (2007), under the supervision of Professor Xiaohui Liu. The title of her PhD thesis is Interactive Visualization for the Dynamic Modelling of Time Series Gene Expression Data.